"//tensorflow/cc:grad_ops",
        "//tensorflow/cc/saved_model:signature_constants",
        "//tensorflow/cc/saved_model:tag_constants",
        "//tensorflow/compiler/jit",
        "//tensorflow/core:array_ops_op_lib",
        "//tensorflow/core:bitwise_ops_op_lib",
        "//tensorflow/core:control_flow_ops_op_lib",
        "//tensorflow/core:core_cpu_internal",
        "//tensorflow/core:direct_session",

    ```bash
    bazel run //tensorflow/tools/docs:tf_doctest
    ```

    or

    ```bash
    bazel run //tensorflow/tools/docs:tf_doctest -- --module=ops.array_ops
    ```

    The `--module` is relative to `tensorflow.python`.

#### Debug builds

When [building Tensorflow](https://www.tensorflow.org/install/source), passing

#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_ARRAY_GRAD_H_
#define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_ARRAY_GRAD_H_

#include "tensorflow/c/eager/gradients.h"

namespace tensorflow {
namespace gradients {
GradientFunction* IdentityNRegisterer(const ForwardOperation& op);
}  // namespace gradients
}  // namespace tensorflow

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/gradients/array_grad.h"

#include "tensorflow/c/eager/abstract_context.h"

namespace tensorflow {
namespace gradients {
namespace {
class IdentityNGradientFunction : public GradientFunction {
 public:

                                    const TF_TransactionToken* token);

  /// Returns pointer to an array of available configuration options and their
  /// current/default values in `options` and number of options in array in
  /// `num_options`. Ownership of the array is transferred to caller and the
  /// caller is responsible of freeing the buffers using respective file systems
  /// allocation API.
  ///

    DefineT(num_opers, opers, ToOutput(inputs), ToOutput(outputs), output_names,
            expect_failure);
  }

  // Caller must delete[] the returned value
  static const char** ToArray(const std::vector<string>& strs) {
    const char** ptr = nullptr;
    if (!strs.empty()) {
      ptr = new const char*[strs.size()];
      for (size_t i = 0; i < strs.size(); ++i) {
        ptr[i] = strs[i].c_str();

#include "tensorflow/c/experimental/gradients/math_grad.h"

#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/gradients.h"
#include "tensorflow/c/experimental/ops/array_ops.h"
#include "tensorflow/c/experimental/ops/math_ops.h"
#include "tensorflow/c/experimental/ops/nn_ops.h"

using std::vector;
using tensorflow::ops::AddV2;
using tensorflow::ops::Div;

        dataset, in one function call.
    *   **[`timeseries_dataset_from_array`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/timeseries_dataset_from_array)**
        is a `tf.data.Dataset`-based replacement of the legacy
        `TimeseriesGenerator`. It takes you from an array of timeseries data to
        a dataset of shifting windows with their targets.
*   Added

        ":unified_api_testutil",
        "//tensorflow/c:c_api",
        "//tensorflow/c:c_test_util",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c/experimental/gradients:array_grad",
        "//tensorflow/c/experimental/gradients:math_grad",
        "//tensorflow/c/experimental/gradients:not_differentiable",
        "//tensorflow/c/experimental/gradients/tape:tape_context",

        "//third_party/yggdrasil_decision_forests/...",
        "//waymo/accelerator/...",
        "//waymo/ml/cn/...",
        "//waymo/ml/models/...",
    ],
)

package_group(
    name = "ndarray_tensor_allow_list",
    packages = [
        "//third_party/py/courier/...",
        "//third_party/py/tensorfn/...",
    ],
)

# Packages that use private types symbols, until they are exported.